The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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The Effect of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Mitigation Strategies on Seasonal Respiratory Viruses: A Tale of 2 Large Metropolitan Centers in the United States
This article has 8 authors:Reviewed by ScreenIT
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Estimation of the Basic Reproduction Number of SARS-CoV-2 in Bangladesh Using Exponential Growth Method
This article has 2 authors:Reviewed by ScreenIT
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Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China
This article has 10 authors:Reviewed by ScreenIT
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An optimal control policy in fighting COVID-19 and infectious diseases
This article has 1 author:Reviewed by ScreenIT
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Association between anti-interferon-alpha autoantibodies and COVID-19 in systemic lupus erythematosus
This article has 5 authors:Reviewed by ScreenIT
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Two-tiered SARS-CoV-2 seroconversion screening in the Netherlands and stability of nucleocapsid, spike protein domain 1 and neutralizing antibodies
This article has 7 authors:Reviewed by ScreenIT
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Early detection of seasonality and second waves prediction in the COVID-19 pandemic
This article has 1 author:Reviewed by ScreenIT
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An easy, reliable and rapid SARS-CoV2 RT-LAMP based test for Point-of-Care and diagnostic lab
This article has 6 authors:Reviewed by ScreenIT
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A national consensus management pathway for paediatric inflammatory multisystem syndrome temporally associated with COVID-19 (PIMS-TS): results of a national Delphi process
This article has 74 authors:Reviewed by ScreenIT
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Prevalence of SARS-CoV-2 in human post-mortem ocular tissues
This article has 10 authors:Reviewed by ScreenIT